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所以我试图在 Julia 中使用 ArrayFire，我发现随着时间的推移性能会奇怪地下降：

using ArrayFire
srand(1)

function f()
    r = AFArray(zeros(Float32, 100, 100000))
    a = AFArray(rand(Float32, 100, 100000))
    for d in 1:100:90000
        r[:,d:d+99] = a[:,d:d+99] .* a[:,d:d+99]
    end
    nothing
end

function g()
    r = zeros(Float32, 100, 100000)
    a = ones(Float32, 100, 100000)
    for d in 1:100:90000
        r[:,d:d+99] = a[:,d:d+99] .* a[:,d:d+99]
    end
    nothing
end

for _ in 1:15
    @time f()
end

如果你运行这段代码，你会发现每次迭代都变得越来越慢。finalize我尝试在内部调用r并尝试将这些数组从 GPU 内存中抛出，以防出现问题，但它没有做任何事情。af()

这是输出：

  0.810842 seconds (114.91 k allocations: 80.216 MB, 0.71% gc time)
  0.283941 seconds (79.22 k allocations: 78.561 MB, 3.22% gc time)
  0.267405 seconds (79.22 k allocations: 78.561 MB, 2.31% gc time)
  0.332186 seconds (79.22 k allocations: 78.561 MB, 1.76% gc time)
  0.405174 seconds (79.22 k allocations: 78.561 MB, 1.50% gc time)
  0.433224 seconds (79.22 k allocations: 78.561 MB, 2.11% gc time)
  0.501358 seconds (79.22 k allocations: 78.561 MB, 1.18% gc time)
  0.572704 seconds (79.22 k allocations: 78.561 MB, 1.07% gc time)
  0.650663 seconds (79.22 k allocations: 78.561 MB, 1.10% gc time)
  0.794873 seconds (79.22 k allocations: 78.561 MB, 1.16% gc time)
  0.838882 seconds (79.22 k allocations: 78.561 MB, 1.04% gc time)
  1.281940 seconds (79.22 k allocations: 78.561 MB, 0.61% gc time)
  1.200713 seconds (79.22 k allocations: 78.561 MB, 0.37% gc time)
  1.268786 seconds (79.22 k allocations: 78.561 MB, 0.78% gc time)
  1.396851 seconds (79.22 k allocations: 78.561 MB, 0.66% gc time)
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